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docs/8.预测数值型数据:回归.md
@@ -11,7 +11,7 @@
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回归的目的是预测数值型的目标值。最直接的办法是依据输入写出一个目标值的计算公式。
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-假如你想要预测姐姐男友汽车的功率大小,可能会这样计算:
+假如你想要预测兰博基尼跑车的功率大小,可能会这样计算:
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HorsePower = 0.0015 * annualSalary - 0.99 * hoursListeningToPublicRadio
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@@ -88,6 +88,7 @@ HorsePower = 0.0015 * annualSalary - 0.99 * hoursListeningToPublicRadio
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数据格式为:
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```
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+x
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1.000000 0.067732 3.176513
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1.000000 0.427810 3.816464
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1.000000 0.995731 4.550095
src/python/8.PredictiveNumericalDataRegression/regression.py
@@ -584,9 +584,9 @@ def regression5():
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if __name__ == "__main__":
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- # regression1()
+ regression1()
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# regression2()
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# abaloneTest()
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# regression3()
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- regression4()
+ # regression4()
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# regression5()
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